{"id":19346,"date":"2020-09-06T04:31:47","date_gmt":"2020-09-06T08:31:47","guid":{"rendered":"http:\/\/studentwork.prattsi.org\/infovis\/?p=19346"},"modified":"2020-10-28T09:59:25","modified_gmt":"2020-10-28T13:59:25","slug":"a-brief-history-of-modern-data-visualization-tools","status":"publish","type":"post","link":"https:\/\/studentwork.prattsi.org\/infovis\/visualization\/a-brief-history-of-modern-data-visualization-tools\/","title":{"rendered":"A Brief History of Modern Data Visualization Tools"},"content":{"rendered":"\n
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An image captured from the timeline: “A Brief History of Modern Data Visualization Software” created via TimelineJS, hyperlinked to the interactive timeline url<\/figcaption><\/figure>\n\n\n\n

Introduction<\/h4>\n\n\n\n

In understanding the larger history of Data Visualization starting from tables dating back to 2C to the advent of Chord Diagrams in 2009, it is clear that human beings’ concern around best information recording practices has been and is an ongoing process. As understanding data is increasingly becoming important not just for businesses but for everyone, there is a heated race to provide the best Data Visualization tools. Particularly in the day and age where global health crisis is also a global information crises (Xie, et al., 2020), tools that efficiently, effectively, and accurately portray insights are critical in helping people without subject matter expertise access and understand information they need. But what exact tools are out there that professionals and non-professionals utilize today in 2020? When did these tools emerge? How are these tools relevant in the realm of modern data visualization? The resulting timeline from this research intends to expand on the three questions, presenting a somewhat brief history of modern data visualization programs.<\/p>\n\n\n\n

References<\/h4>\n\n\n\n

Three different existing visualizations were referenced in creating the timeline.<\/p>\n\n\n\n

The first reference was Milestones in the history of thematic cartography, statistical graphics, and data visualization<\/em> by Friendly, M. & Denis, D. J. (2001)<\/a>. I found that the visualization was easy to follow thanks to the color-coded categorization of each events. However, users would be directed to another page in order to view further details for an event instead of having all the details in the pop-up module, a design that I found to be an interference in allowing for a smooth interaction with the timeline.<\/p>\n\n\n\n